{"ID":2861421,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.01885","arxiv_id":"2510.01885","title":"Accuracy vs Performance: An abstraction model for deadline constrained offloading at the mobile-edge","abstract":"In this paper, we present a solution for low-latency deadline-constrained DNN offloading on mobile edge devices. We design a scheduling algorithm with lightweight network state representation, considering device availability, communication on the network link, priority-aware pre-emption, and task deadlines. The scheduling algorithm aims to reduce latency by designing a resource availability representation, as well as a network discretisation and a dynamic bandwidth estimation mechanism. We implement the scheduling algorithm into a system composed of four Raspberry Pi 2 (model Bs) mobile edge devices, sampling a waste classification conveyor belt at a set frame rate. The system is evaluated and compared to a previous approach of ours, which was proven to outcompete work-stealers and a non-pre-emption based scheduling heuristic under the aforementioned waste classification scenario. Our findings show the novel lower latency abstraction models yield better performance under high-volume workloads, with the dynamic bandwidth estimation assisting the task placement while, ultimately, increasing task throughput in times of resource scarcity.","short_abstract":"In this paper, we present a solution for low-latency deadline-constrained DNN offloading on mobile edge devices. We design a scheduling algorithm with lightweight network state representation, considering device availability, communication on the network link, priority-aware pre-emption, and task deadlines. The schedul...","url_abs":"https://arxiv.org/abs/2510.01885","url_pdf":"https://arxiv.org/pdf/2510.01885v1","authors":"[\"Jamie Cotter\",\"Ignacio Castineiras\",\"Victor Cionca\"]","published":"2025-10-02T10:52:42Z","proceeding":"cs.DC","tasks":"[\"cs.DC\",\"cs.NI\"]","methods":"[]","has_code":false}